Tap into Fully Integrated Hybrid Cloud Monitoring for Faster Troubleshooting
Late last year we announced ScienceLogic’s Hollywood release, aimed at accelerating AIOps adoption through its human-friendly platform. By integrating generative AI insights with observability and automation, we took a big step forward in simplifying the work of IT teams. A key component of this goal was upgrading SL1’s features, specifically our now fully integrated hybrid cloud monitoring for faster troubleshooting.
The Next Generation of Hybrid Cloud Monitoring
Users of SL1 will be familiar with the platform’s powerful capabilities, including unifying and monitoring service health across legacy and modern IT infrastructure – thus eliminating visibility gaps in hybrid IT -and driving tool consolidation. With prior versions of SL1, users could see all their monitoring data in one place, intelligently suppress event noise, and prioritize events that require timely action.
The updates as part of the Hollywood release build on these capabilities, using AI and machine learning (ML) – aka AIOps – to add richer insights. Hollywood takes the platform’s capabilities to the next level by continuously analyzing how IT environments behave and proactively identifying the root cause of problems with 95% accuracy. Without the need for round-the-clock manual monitoring, IT teams can instead focus on realizing higher-level business goals, like driving innovation.
Additionally, the upgraded SL1 user interface (UI) seamlessly incorporates AI and ML insights, further eliminating the need for manual tasks like correlating views and data across hybrid IT environments. The platform provides a comprehensive view of business service changes, key events, service tickets, AI generated automated root cause reports and details of affected components, such as devices, VMs or containers. With this unified approach, IT teams can now investigate business service alerts and identify root causes up to 10 times faster than traditional human analysis, enabling them to resolve issues quickly before they cause serious business impact.
Delivering Greater Value for IT teams
Hollywood’s human-friendly approach to AIOps ensures IT teams can easily understand generative AI and ML insights, facilitates more informed decision-making, and allows for swift issue resolution without manual auditing of complex logs and documentation.
Additionally, the platform’s centralized alerting and automated root cause analysis enables IT professionals to realize up to 60% faster mean-time-to-repair and downtime avoidance. Plus, SLAs are met more consistently, business units are happier and IT teams can realize an all-time high for efficiency and productivity.
Overall, Hollywood’s capabilities contribute directly to lower operational costs. By consolidating hybrid cloud monitoring on SL1, organizations can reduce IT tool costs by up to 80% through reduced licensing and ongoing support contract costs, as well as the pain of managing multiple vendor contracts.
For more information, visit: https://sciencelogic.com/platform/hybrid-cloud-monitoring and stay tuned for part two in which we take a deeper dive into ScienceLogic Hollywood’s fully native AI/ML events insights and analysis.
